Braun Board

AI Sales Engineer, US

Arize AI · Remote · US

Base
Not disclosed
OTE
Not disclosed
Posted
8mo ago

Still open · checked 2h agoon Arize AI's careers page

What Arize AI sells

Watches AI apps to spot and fix problems

A team that builds AI apps often can't tell whether their AI is doing a good job, or why it goes wrong. Arize gives AI engineers one workspace to watch their AI, find what broke, and test changes before and after launch. Teams can then ship their AI with more confidence.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Proceed with caution

A few things here deserve a hard look before you spend time on it.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Doesn't say where pipeline comes from. Ask.
Time on market
Open 264 days. Ask why it's been hard to fill.
Company hiring
5 sales roles open, hiring at a steady pace.

Red flags

None spotted.

Worth asking about

  • Open 90+ days. This role has been posted for three months or more. Ask why it's been hard to fill, and whether anyone left it.

Green flags

None spotted.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    This role has been open a while. What's made it hard to fill?

    The answer tells you what candidates saw that made them walk.

  2. 2.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  3. 3.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    Where does pipeline come from: inbound, SDRs, or me?

    Tells you how much of your week is prospecting versus selling.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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The role

Pair with account executives to demo and position Arize's AI observability and evaluation platform, run discovery, and lead proofs of concept with enterprise GenAI and ML teams.

Enterprise · New Logo

Selling motion

New Logo

Who you're selling to

Buyer:
AI and ML organizations and GenAI teamsIn their words: “get this product in the hands of every AI/ML organization”
Company size:
Enterprise

Pipeline expectations

Not stated in the posting.

Compensation

The posting doesn't list pay.

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize unifies build, test, and run in a single workspace, so teams can ship faster with confidence. Arize serves a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for an AI Sales Engineer (Solutions Architect) to join the good fight and get this product in the hands of every AI/ML organization. You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by an AI Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept. What You’ll Do You are the trusted advisor to the customer: - Partner with our account executives to articulate the overall Arize value proposition, vision, and strategy to customers - Work closely with some of the most sophisticated GenAI teams in the world. - You will act as a trusted advisor to our prospective customers, while also building relationships with technical and business stakeholders. - Lead product demonstrations of the Arize platform - Advise on GenAI and ML best practices - Lead discovery to understand prospect’s GenAI tech stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform - Lead Proof of Concept (PoC) motions with prospective buyers - Handle technical objections and develop strategies across sales, engineering, and product to unblock them What We’re Looking For Note: Even if you do not check every single box, we still encourage you to apply! - 3+ years of experience in a customer-facing role such as sales engineer, solutions engineer, or forward deployed engineer - Strong communication skills: Ability to simplify complex, technical concepts - Proficiency in Python / Typescript - Knowledge of LLM / Agentic frameworks such as OpenAI Agents SDK, Google ADK, LangGraph, and DSPy - Understanding of GenAI concepts and application evaluation + development lifecycle - A quick and self learner - undaunted by technical complexity of production AI deployments and welcome the challenge to learn about them and develop your own POV. Bonus Points, But Not Required - Previous experience working across and aligning Sales, Product, and Engineering - Previous experience within a team that underwent a high growth stage - Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure The estimated annual salary and variable compensation for this role is between $140,000 - $230,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture - Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI - Culturally conscious events such as LGBTQ trivia during pride month - We have an active Lady Arizers subgroup
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